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Replace exact-string assertions in test_correctable_ocr_error_gets_corrected and test_sentence_with_multiple_corrections with structural assertions that verify behavior (correction attempted, marker present, expected stem) without coupling to a specific pyspellchecker version's frequency weights. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
97 lines
2.6 KiB
Python
97 lines
2.6 KiB
Python
"""Tests for OCR spell-check post-processing."""
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import pytest
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from spell_check import correct_text, load_spell_checker
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@pytest.fixture(autouse=True)
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def ensure_loaded():
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load_spell_checker()
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def test_known_german_word_passes_through():
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assert correct_text("Haus") == "Haus"
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def test_obvious_gibberish_replaced_with_marker():
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assert correct_text("xqzwrpvmk") == "[unleserlich]"
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def test_short_word_exempt_from_check():
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assert correct_text("im") == "im"
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assert correct_text("der") == "der"
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assert correct_text("zu") == "zu"
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def test_unleserlich_marker_preserved():
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assert correct_text("[unleserlich]") == "[unleserlich]"
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def test_mixed_text_correct_and_gibberish():
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result = correct_text("Haus xqzwrpvmk Garten")
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assert result == "Haus [unleserlich] Garten"
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def test_adjacent_gibberish_words_collapsed_to_one_marker():
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result = correct_text("[unleserlich] xqzwrpvmk Haus")
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assert result == "[unleserlich] Haus"
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def test_empty_string_returns_empty():
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assert correct_text("") == ""
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def test_whitespace_only_returns_unchanged():
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assert correct_text(" ") == " "
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def test_existing_marker_not_doubled():
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result = correct_text("[unleserlich] Haus [unleserlich]")
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assert result == "[unleserlich] Haus [unleserlich]"
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def test_historical_word_passes_through():
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assert correct_text("Thür") == "Thür"
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def test_correctable_ocr_error_gets_corrected():
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result = correct_text("Hauus")
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assert result != "Hauus"
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assert result != "[unleserlich]"
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assert "[?]" in result
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assert result.startswith("Haus")
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def test_sentence_with_multiple_corrections():
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result = correct_text("Thür Hauus xqzwrpvmk Garten")
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tokens = result.split()
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assert tokens[0] == "Thür"
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assert "[?]" in tokens[1] and tokens[1].startswith("Haus")
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assert tokens[2] == "[unleserlich]"
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assert tokens[3] == "Garten"
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def test_capitalization_preserved_on_correction():
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# "Freunnd" (doubled n) — OCR duplication error for "Freund"
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result = correct_text("Freunnd")
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assert result != "Freunnd"
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assert result != "[unleserlich]"
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assert result[0].isupper()
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def test_raises_runtime_error_when_not_loaded(monkeypatch):
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import spell_check as sc
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monkeypatch.setattr(sc, "_spell", None)
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with pytest.raises(RuntimeError, match="not loaded"):
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correct_text("test")
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def test_punctuation_attached_token_passes_through():
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assert correct_text("Haus,") == "Haus,"
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assert correct_text("Garten.") == "Garten."
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def test_numeric_token_passes_through():
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assert correct_text("1870er") == "1870er"
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assert correct_text("18.") == "18."
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